My iPhone is now packed with helpers. It started with Siri, the digital assistant baked into iOS, that was waiting for me the moment I fired up my iPhone SE for the first time. But now Google is moving in on Apple's turf by releasing an iOS version of Google Assistant, its own take on a helper powered by artificial intelligence. Illustration: Tom's GuideAnd Google Assistant isn't even first app angling to replace Siri as my go-to iPhone helper. Cortana, Microsoft's digital assistant, has been available for iOS devices for more than a year.

The influence and impact of machine learning can be seen in everything from our morning coffee orders to the online banking apps we use. The technology is infusing a deeper intelligence and understanding into the applications that touch our lives, to dramatically improve our experiences. In addition, it's helping to spawn entirely new business innovations and models, such as autonomous vehicles and virtual personal assistants. In fact, machine learning is so prevalent and pervasive that it's difficult to imagine an enterprise being able to survive without embracing it in the next five years. Especially considering predictions of continued global data growth.

Insurance and technology are inextricably linked. The risks we seek to manage have always been connected to the tools we use. But, as Accenture's 2017 Technology Vision for Insurance points out, this relationship recently reached an inflection point. In the past, humans generally changed themselves to make use of new technologies--we learned to drive, we learned to type, we learned to code. But now modern technologies are sophisticated enough to adapt themselves to us.

Imagine you're about to leave the house to pick up your kids. As you grab your keys, you hear a voice from the device on your coffee table: "It looks like you'll use the last of your milk tomorrow, and yogurt is on sale for $1.19. Would you like to pick up an order from Trader Joe's, for a total of $5.35?" You say yes, and Alexa confirms. The order will be ready for curbside pickup, on the way home from your kids' school, in 15 minutes.

In this article we provide a formulation of empirical bayes described by Atchade (2011) to tune the hyperparameters of priors used in bayesian set up of collaborative filter. We implement the same in MovieLens small dataset. We see that it can be used to get a good initial choice for the parameters. It can also be used to guess an initial choice for hyper-parameters in grid search procedure even for the datasets where MCMC oscillates around the true value or takes long time to converge.

The evolution of AI can be difficult to track, but these statistics reveal what trends we can expect to see and its future in the enterprise. Even a quick glance at these AI statistics makes one thing clear: AI will have a starring role in the evolving state of business. The sheer scale of projected AI revenue -- $36.8 billion by 2025 -- is evidence enough that there is money to be made by investing in AI. It has tangible, real-world applications that could benefit many businesses, powering everything from voice recognition software to virtual personal assistants and beyond. It's telling that more than 71 percent of major firms conducting AI research have a B2B focus.

When it came to finding love again, "The Nanny" star Fran Drescher didn't rule out online dating -- but the attempt led to disastrous results. "I actually just did it once [and] it wasn't what I expected," the 59-year-old actress told Closer Weekly. Back in February, Dresher told the magazine she was willing to try online dating after she split from her second husband Shiva Ayyadurai of two years. "The art of making art is putting it together" "I learned a lot, and now I'm going to apply that to my next relationship," she explained. "I'm just beginning to look around with new, fresh eyes. I might sign up for the website Raya.

There's plenty to love about the Galaxy S8 and S8 Plus, Samsung's latest mobile darlings. The near edge-to-edge displays and luscious design give them a fit and finish few other flagships can match. And the performance and battery-life are nothing to sneeze at either. Yet, nearly three months after their initial launch, the phones are still missing a key feature: Bixby. Samsung's AI-powered voice assistant is nowhere to be seen.

Samsung's technological reach is formidable, shipping more phones than any other manufacturer. The company boasts nearly 23% of the global smartphone market, and its Gear VR headset, available since late 2015, is already among the most popular virtual reality devices going. But when it comes to voice-activated speakers, a medium that some believe is on the cusp of becoming the next major computing platform, there's reason to question whether Samsung has the wherewithal to keep up. The South Korean technology giant may be developing a new Amazon Echo-like smart speaker powered by its Bixby virtual assistant, reports the Wall Street Journal. But it's arrival would likely come long after category pioneers like Amazon, Google and Apple have either released or announced plans to launch voice-activated gadgets of their own.

Editor's Note: This article first appeared in Spektrum der Wissenschaft, Scientific American's sister publication, as "Digitale Demokratie statt Datendiktatur." "Enlightenment is man's emergence from his self-imposed immaturity. Immaturity is the inability to use one's understanding without guidance from another." The digital revolution is in full swing. How will it change our world? The amount of data we produce doubles every year. In other words: in 2016 we produced as much data as in the entire history of humankind through 2015. Every minute we produce hundreds of thousands of Google searches and Facebook posts. These contain information that reveals how we think and feel. Soon, the things around us, possibly even our clothing, also will be connected with the Internet. It is estimated that in 10 years' time there will be 150 billion networked measuring sensors, 20 times more than people on Earth. Then, the amount of data will double every 12 hours. Many companies are already trying to turn this Big Data into Big Money. Everything will become intelligent; soon we will not only have smart phones, but also smart homes, smart factories and smart cities. Should we also expect these developments to result in smart nations and a smarter planet? The field of artificial intelligence is, indeed, making breathtaking advances. In particular, it is contributing to the automation of data analysis. Artificial intelligence is no longer programmed line by line, but is now capable of learning, thereby continuously developing itself. Recently, Google's DeepMind algorithm taught itself how to win 49 Atari games. Algorithms can now recognize handwritten language and patterns almost as well as humans and even complete some tasks better than them. They are able to describe the contents of photos and videos. Today 70% of all financial transactions are performed by algorithms. News content is, in part, automatically generated. This all has radical economic consequences: in the coming 10 to 20 years around half of today's jobs will be threatened by algorithms. It can be expected that supercomputers will soon surpass human capabilities in almost all areas--somewhere between 2020 and 2060. Experts are starting to ring alarm bells.